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Significant Subgraph Mining for Neural Network Inference with Multiple Comparisons Correction

2021-11-04

Abstract excerpt

We describe how the recently introduced method of significant subgraph mining can be employed as a useful tool in network comparison. It is applicable whenever the goal is to compare two sets of unweighted graphs and to determine differences in the processes that generate them. We provide an extension of the method to dependent graph generating processes as the occur for example in within-subject experimental desi...

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Literature Corpus work
30378157-d0e9-51dc-bd65-355f4cb6a017
DOI
10.1101/2021.11.03.467050
Open publication

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Significant Subgraph Mining for Neural Network Inference with Multiple Comparisons CorrectionDOI 10.1101/2021.11.03.467050
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